Evidence for the mindset-plus-supportive-context hypothesis regarding
teacher mindsets and a student-mindset intervention—up to a point—in
a flexible Bayesian causal-forest model. Posterior distributions are
of the conditional average treatment effect (CATE) as a proportion
of the average treatment effect (ATE). Thus, 100% means that the
CATE is equal to the population ATE. Red dots represent the
estimated intervention effect (posterior means) at each level of
teacher mindset. The widths of the bars, from wide to narrow,
represent the middle 50% (i.e., interquartile range), 80%, and 90%
of the posterior distribution, respectively. The teacher-mindset
measure ranges from 1 to 6. The dashed vertical line represents the
population mean for teacher mindsets. However, the
x-axis stops at 3 because only five teachers
had a mindset score below this, and the model cannot make precise
predictions with so few teachers.